Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
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Article Number | 03010 | |
Number of page(s) | 6 | |
Section | Geology, Mapping, and Remote Sensing | |
DOI | https://doi.org/10.1051/e3sconf/202016503010 | |
Published online | 01 May 2020 |
Study on Using Single UAV’s image for Extraction Measurement of Flat Area
1 School of Transportation, Southeast University, 211189 Dongnandaxue Rd, Nanjing, Jiangsu, PR China
2 School of Transportation, Southeast University, 211189 Dongnandaxue Rd, Nanjing, Jiangsu, PR China
* Corresponding author: 233169914@seu.edu.cn
A new technology Unmanned Aerial Vehicles (UAV), is increasingly used by land surveyors for various applications. CV software for processing drone images has made great strides in making it easier to use and reducing the need for human intervention. CV method relies on tie point extraction from a set of overlapping images, which used to generate a model for the area of interest. However, using this technique to process large areas at an acceptable resolution requires huge photos and significant computer resources. Therefore, this study aims to assess the measurement accuracy that can be obtained from a single UAV image, taking into account the accuracy and time consumption. Firstly, the multirotor UAV was used to capture the ground at a certain altitude. Then the data were processed using two software packages. The outcomes of both software were compared against actual data for accuracy assessment. The results show that both processing methods provide excellent accuracy result; the ground resolution is within the range of 0.2~3.7cm\pixel, which comply with international standards. In conclusion, this study demonstrates the feasibility of using high accuracy UAV image to extract the measurement of a flat area with reliable accuracy in a short time.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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